Corpus Analysis for Developing Language Competencies in Future Professionals

Abstract

Aim. The aim of the study is to demonstrate the effectiveness of using corpus analysis for the development of language competencies of future specialists using specific examples of the Ukrainian and English languages. Methods. The research employs the methods of experimental comparison of training results, questionnaire survey, as well as monitoring and analysis of changes in language skills. Statistical methods were used to process the obtained data. Results. A significant improvement in language competence was observed in the group where corpus analysis was used: the percentage of students who achieved positive results increased from 40% to 70% after the implementation of this method. The difference between pre- and post-training indicators was 30%, which is statistically significant (χ² = 27.05, p < 0.001). Conclusions. The study confirmed the effectiveness of using corpus analysis for the development of language competencies of future specialists. The results indicate a significant improvement in the level of language comprehension, oral expression skills, and use of specialized vocabulary in the experimental group (EG) compared to the control group (CG). Prospects. Further research may focus on determining the impact of corpus analysis on the language learning process in a variety of contexts.